15. December 2015, 16:15 p.m.

Ernst-Abbe-Platz 2, seminar room 3423

Over the hedge: proteomics algorithms that could serve metabolomics

Prof. Dr. Lennart Martens
(Computational Omics and Systems Biology Group Medical Biotechnology Center, Universiteit Gent – VIB, Belgium)

Over the past several years, the field of mass spectrometry based proteomics has seen quite a few advances in the informatics algorithms and tools that have become so crucial for the reliable analysis of data. It is particularly interesting to note that the confluence of targeted proteomics approaches and the public availability of a large body of heterogeneous data have together led to the creation of Machine Learning based tools that predict the behaviour of analytes in the instrumentation. These predictors in turn allow a more sophisticated analysis of the acquired explorative data. With the advent of public data sharing in metabolomics, it is highly likely that some (if not all) of these approaches could be ported to the field of mass spectrometry metabolomics, albeit after careful adaptation to the specific challenges in this field. Nevertheless, the objective of this lecture is to present some of the most promising recent informatics developments in mass spectrometry proteomics with a view towards possible implementation in the field of metabolomics.